AI Research Papers
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A Survey on Sparse Autoencoders: Interpreting the Internal Mechanisms of Large Language Models
Northwestern University, University of Georgia, New Jersey Institute of Technology, George Mason University
Benchmarking LLMs in Recommendation Tasks: A Comparative Evaluation with Conventional Recommenders
The HK PolyU, Huawei Noah’s Ark Lab, Nanyang Technology University, National University of Singapore
Memory-augmented Query Reconstruction for LLM-based Knowledge Graph Reasoning
Harbin Institute of Technology
Process-based Self-Rewarding Language Models
Nanjing University, University of Manchester, Microsoft Research Asia
When Large Language Models Meet Speech: A Survey on Integration Approaches
Kyoto University
Towards Better Understanding of Program-of-Thought Reasoning in Cross-Lingual and Multilingual Environments
VISTEC, KAIST, Cohere, SCB 10X, AI Singapore, Chulalongkorn University
Thus Spake Long-Context Large Language Model
Shanghai AI Lab, Fudan University, Huawei Noah’s Ark Lab, Shanghai Innovation Institute
The Relationship Between Reasoning and Performance in Large Language Models - o3 (mini) Thinks Harder, Not Longer
Vrije Universiteit Brussel, Harvard University
PlanGenLLMs: A Modern Survey of LLM Planning Capabilities
University of California, Emory University, PAII Inc.
Long-VITA: Scaling Large Multi-Modal Models to 1 Million Tokens with Leading Short-Context Accuracy
Tencent Youtu Lab, Nanjing University, Xiamen University, CASIA
Explainable Sentiment Analysis with DeepSeek-R1: Performance, Efficiency, and Few-Shot Learning
Singapore Management University, Mastercard
Sample, Scrutinize and Scale: Effective Inference-Time Search by Scaling Verification
Google Research, UC Berkeley
Competitive Programming with Large Reasoning Models
OpenAI
Rethinking Mixture-of-Agents: Is Mixing Different Large Language Models Beneficial?
Princeton University
s1: Simple Test-Time Scaling
Stanford University, University of Washington, Allen Institute for AI, Contextual AI
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